Qiyang Li

According to our database, Qiyang Li authored at least 35 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

DPCA-Net: Dual-Prototype Consistency Alignment Network for Robust Multimodal Few-Shot Action Recognition.

Xiaohui Zhao, Xiangyu Meng, Qiyang Li, Xingwang Cai, Deyin Ma, Xiaohu Shi

IEEE Trans. Circuits Syst. Video Technol., April, 2026

Q-learning with Adjoint Matching.

Qiyang Li, Sergey Levine

CoRR, January, 2026

FlexSpec: Frozen Drafts Meet Evolving Targets in Edge-Cloud Collaborative LLM Speculative Decoding.

Yuchen Li, Rui Kong, Zhonghao Lyu, Qiyang Li, Xinran Chen, Hengyi Cai, Lingyong Yan, Shuaiqiang Wang, Jiashu Zhao, Guangxu Zhu, Linghe Kong, Guihai Chen, Haoyi Xiong, Dawei Yin

CoRR, January, 2026

Online performance evaluation of a four-degree-of-freedom musculoskeletal model based on muscle synergy.

Yang Zhang, Yue Yang, Chaofan Wang, Qiyang Li, Jinhua Li, Jianmin Li, Lizhi Pan

Biomed. Signal Process. Control., 2026

Non-intrusive three-phase load monitoring based on deep feature fusion and recursive interpretable screening.

Mao Tan, Qiyang Li, Zibin Li, Xinwei Lv, Jinling Chen, Wei Liu

Appl. Soft Comput., 2026

AdaFuse: Accelerating Dynamic Adapter Inference via Token-Level Pre-Gating and Fused Kernel Optimization.

Qiyang Li, Rui Kong, Yuchen Li, Hengyi Cai, Shuaiqiang Wang, Linghe Kong, Guihai Chen, Dawei Yin

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Decoupled Q-Chunking.

Qiyang Li, Seohong Park, Sergey Levine

CoRR, December, 2025

EXPO: Stable Reinforcement Learning with Expressive Policies.

Perry Dong, Qiyang Li, Dorsa Sadigh, Chelsea Finn

CoRR, July, 2025

Reinforcement Learning with Action Chunking.

Qiyang Li, Zhiyuan Zhou, Sergey Levine

CoRR, July, 2025

Ensemble learning unlocking point load forecasting accuracy: A novel framework based on two-stage data preprocessing and improved multi-objective optimisation strategy.

Jingmin Luan, Qiyang Li, Yuyan Qiu, Weican Liu

Comput. Electr. Eng., 2025

Learning Visuotactile Skills With Two Multifingered Hands.

Toru Lin, Yu Zhang, Qiyang Li, Haozhi Qi, Brent Yi, Sergey Levine, Jitendra Malik

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration.

Max Wilcoxson, Qiyang Li, Kevin Frans, Sergey Levine

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Flow Q-Learning.

Seohong Park, Qiyang Li, Sergey Levine

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Efficient Online Reinforcement Learning Fine-Tuning Need Not Retain Offline Data.

Zhiyuan Zhou, Andy Peng, Qiyang Li, Sergey Levine, Aviral Kumar

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Improved RRT global path planning algorithm based on Bridge Test.

Haiyan Tu, Yizhao Deng, Qiyang Li, Mingjun Song, Xiujuan Zheng

Robotics Auton. Syst., January, 2024

RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning.

Charles Xu, Qiyang Li, Jianlan Luo, Sergey Levine

CoRR, 2024

LoRA-Switch: Boosting the Efficiency of Dynamic LLM Adapters via System-Algorithm Co-design.

Rui Kong, Qiyang Li, Xinyu Fang, Qingtian Feng, Qingfeng He, Yazhu Dong, Weijun Wang, Yuanchun Li, Linghe Kong, Yunxin Liu

CoRR, 2024

REFACTOR: Learning to Extract Theorems from Proofs.

Jin Peng Zhou, Yuhuai Wu, Qiyang Li, Roger Baker Grosse

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Graph Contrastive Learning with Adversarial Structure Refinement (GCL-ASR).

Jiangwen Chen, Kou Guang, Huang Yan, Qiyang Li, Tan Hao

Proceedings of the IEEE International Conference on Data Mining, 2024

OpenEQA: Embodied Question Answering in the Era of Foundation Models.

Arjun Majumdar, Anurag Ajay, Xiaohan Zhang, Pranav Putta, Sriram Yenamandra, Mikael Henaff, Sneha Silwal, Paul McVay, Oleksandr Maksymets, Sergio Arnaud, Karmesh Yadav, Qiyang Li, Ben Newman, Mohit Sharma, Vincent-Pierre Berges, Shiqi Zhang, Pulkit Agrawal, Yonatan Bisk, Dhruv Batra, Mrinal Kalakrishnan, Franziska Meier, Chris Paxton, Alexander Sax, Aravind Rajeswaran

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Information advantage and payment disadvantage when selling goods through a powerful retailer.

Baozhuang Niu, Zifan Shen, Qiyang Li

Ann. Oper. Res., December, 2023

Will you stick to a high-quality collecting standard? order fulfillment vs. limited supply in diseconomy-cost-mattered remanufacturing operations.

Fanzhuo Zeng, Baozhuang Niu, Zhiyuan Qi, Jianhua Zhang, Yong Jin, Qiyang Li

Comput. Ind. Eng., October, 2023

Accelerating Exploration with Unlabeled Prior Data.

Qiyang Li, Jason Zhang, Dibya Ghosh, Amy Zhang, Sergey Levine

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Understanding the Complexity Gains of Single-Task RL with a Curriculum.

Qiyang Li, Yuexiang Zhai, Yi Ma, Sergey Levine

Proceedings of the International Conference on Machine Learning, 2023

Efficient Deep Reinforcement Learning Requires Regulating Overfitting.

Qiyang Li, Aviral Kumar, Ilya Kostrikov, Sergey Levine

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

AdaCat: Adaptive categorical discretization for autoregressive models.

Qiyang Li, Ajay Jain, Pieter Abbeel

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Prediction of Transaction Risk in Financial Market Based on Neural Network Model.

Qiyang Li

Proceedings of the Tenth International Conference on Applications and Techniques in Cyber Intelligence (ICATCI 2022), 2022

2021

Reinforcement Learning as One Big Sequence Modeling Problem.

Michael Janner, Qiyang Li, Sergey Levine

CoRR, 2021

Offline Reinforcement Learning as One Big Sequence Modeling Problem.

Michael Janner, Qiyang Li, Sergey Levine

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Exclusive vs. competitive retailing: Overseas vaccine supplier's channel selection considering profit and social responsibility objectives.

Baozhuang Niu, Qiyang Li, Lei Chen

Comput. Ind. Eng., 2020

2019

Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks.

Qiyang Li, Saminul Haque, Cem Anil, James Lucas, Roger B. Grosse, Jörn-Henrik Jacobsen

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Building a Winning Self-Driving Car in Six Months.

Keenan Burnett, Andreas Schimpe, Sepehr Samavi, Mona Gridseth, Chengzhi Winston Liu, Qiyang Li, Zachary Kroeze, Angela P. Schoellig

Proceedings of the International Conference on Robotics and Automation, 2019

TimbreTron: A WaveNet(CycleGAN(CQT(Audio))) Pipeline for Musical Timbre Transfer.

Sicong Huang, Qiyang Li, Cem Anil, Xuchan Bao, Sageev Oore, Roger B. Grosse

Proceedings of the 7th International Conference on Learning Representations, 2019

2017

Learning of Coordination Policies for Robotic Swarms.

Qiyang Li, Xintong Du, Yizhou Huang, Quinlan Sykora, Angela P. Schoellig

CoRR, 2017

Deep neural networks for improved, impromptu trajectory tracking of quadrotors.

Qiyang Li, Jingxing Qian, Zining Zhu, Xuchan Bao, Mohamed K. Helwa, Angela P. Schoellig

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017